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相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Genetic Screens02:46

Genetic Screens

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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相关实验视频

Updated: Jul 25, 2025

Pooled CRISPR-Based Genetic Screens in Mammalian Cells
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Pooled CRISPR-Based Genetic Screens in Mammalian Cells

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用卷积神经网络进行选择性扫描的全基因组扫描.

Hanqing Zhao1, Matthijs Souilljee1, Pavlos Pavlidis2

  • 1Faculty of EEMCS, University of Twente, Enschede, The Netherlands.

Bioinformatics (Oxford, England)
|June 30, 2023
PubMed
概括

一个新的神经网络框架,ASDEC,有效地检测整个基因组的积极选择. 它在灵敏度和准确度上超越了现有的方法,有助于识别被选择的基因.

科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 进化遗传学 进化遗传学

背景情况:

  • 选择性扫描检测方法通常依赖于总结统计数据,限制了全基因组扫描和精确的选择估计.
  • 现有的方法对混因素敏感,并未优化用于识别候选基因或选择参数.

研究的目的:

  • 引入ASDEC,一种用于全基因组选择性扫描检测的新型神经网络框架.
  • 提高识别受积极选择影响的基因组区域的速度,灵敏度和准确性.

主要方法:

  • ASDEC使用神经网络直接从原始序列数据中推断基因组区域特征.
  • 该框架旨在实现高效的全基因组扫描,避免需要预先计算的总结统计数据.

主要成果:

  • ASDEC的分类性能与现有方法相当,但其列车速度快10倍,分类速度快5倍.
  • 使用ASDEC进行的基因组扫描显示灵敏度高达15.2倍,成功率高达19.4倍,检测准确度高达4倍.
  • 在约鲁巴人群中,ASDEC成功地在人类染色体1上发现了9个已知的候选基因.

结论:

  • ASDEC在选择性扫描检测方面取得了重大进展,使全面的全基因组分析成为可能.

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  • 该框架的效率和准确性有助于识别积极选择下的基因和对选择事件的表征.